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arXiv · 2403.17493

Learning Equivalence Relations on Polish Spaces

Dino Rossegger·Theodore Slaman·Tomasz Steifer
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Abstract

We investigate natural variations of behaviourally correct learning and explanatory learning -- two learning paradigms studied in algorithmic learning theory -- that allow us to ``learn'' equivalence relations on Polish spaces. We give a characterization of the learnable equivalence relations in terms of their Borel complexity and show that the behaviorally correct and explanatory learnable equivalence relations coincide both in uniform and non-uniform versions of learnability and provide a characterization of the learnable equivalence relations in terms of their Borel complexity. We also show that the set of uniformly learnable equivalence relations is $\pmb\Pi^1_1$-complete in the codes and study the learnability of several equivalence relations arising naturally in logic as a case study.

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BibTeXRIS

Dino Rossegger, Theodore Slaman, Tomasz Steifer. 2024-03-26. Learning Equivalence Relations on Polish Spaces. https://doi.org/10.1017/jsl.2025.7

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